MarioniLab/scran: Methods for Single-Cell RNA-Seq Data Analysis

Implements functions for low-level analyses of single-cell RNA-seq data. Methods are provided for normalization of cell-specific biases, assignment of cell cycle phase, detection of highly variable and significantly correlated genes, identification of marker genes, and other common tasks in routine single-cell analysis workflows.

Getting started

Package details

Bioconductor views BatchEffect Clustering GeneExpression ImmunoOncology Normalization RNASeq Sequencing SingleCell Software Transcriptomics Visualization
Maintainer
LicenseGPL-3
Version1.15.5
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("MarioniLab/scran")
MarioniLab/scran documentation built on Nov. 12, 2019, 1:22 a.m.